Transformer Example
Tabular Transformers for Clinical Biostatistics Data This notebook demonstrates how to apply Tabular Transformers to a clinical biostatistics dataset with a mix of numerical and categorical featur...
Stats-IQ
Portfolio Optimization Using Mixed Models
Redirecting… You are being redirected to the full portfolio optimization tutorial. If you are not automatically redirected, click here. The complete tutorial includes: Interactive plotly figur...
Near Deterministic Rule Mining and Anomaly Detection in Clinical Data
This notebook contains the complete implementation and usage example of the HierarchicalRulesExplorer class for near-deterministic association rule discovery and anomaly detection in structured dat...
Tabular Transformers for Clinical Biostatistics Data V2
Tabular Transformers for Clinical Biostatistics Data This notebook demonstrates how to apply Tabular Transformers to a clinical biostatistics dataset with a mix of numerical and categorical featur...
Anomaly Detection using Autoencoders in PyTorch
This notebook presents a framework for anomaly detection using autoencoders implemented in PyTorch. The approach leverages a neural network autoencoder for both dimensionality reduction and reconst...
Array Variate Normal Distribution for Missing Data
Unveiling the Unseen: A Guide to Array Variate Normal Distribution and Recovering Missing Data Ever stared at a dataset with gaping holes and wondered how to make sense of it? Data, especially in ...
Anomaly Detection using GANs
TabularGAN for Anomaly Detection in Clinical Data This notebook demonstrates an application of Generative Adversarial Networks (GANs) for anomaly detection in structured clinical data using: A...